Neuroscience and Neurobiology Commons^™

Inter-Subject Correlation Using Movie-Driven Fmri In Drug-Resistant Epilepsy, Hana H. Abbas

Electronic Thesis and Dissertation Repository

Treating drug-resistant epilepsy with surgery requires the localization of the epileptic focus. We explored the potential for movie-driven functional magnetic resonance imaging (fMRI) to act as a sensitive, non-invasive, and cost-effective tool to identify functionally disturbed networks. We assessed neural synchronization (inter-subject correlation; ISC) between presurgical epilepsy patients (n = 18) and healthy controls (n = 24) as they watched a suspenseful movie clip in the scanner. To optimize denoising, we compared ISC values with and without an automated Independent Components Analysis-based denoising step (ICA-AROMA). We found that denoising with ICA-AROMA elicited augmented correlation values, supporting its use …

Estimating Progression Rates Across The Spectrum Of Alzheimer’S Disease For Amyloid-Positive Individuals Using National Alzheimer’S Coordinating Center Data, Michele Potashman, Marric Buessing, Mihaela Levitchi Benea, Jeffrey Cummings, Soo Borson, Peter Pemberton-Ross, Andrew J. Epstein

School of Medicine Faculty Publications

Introduction: Published estimates of Alzheimer’s disease (AD) progression do not capture the full disease continuum. This study provides transition probabilities of individuals with amyloid-β (Aβ+) pathology across the disease continuum. Methods: Patient-level longitudinal data from the National Alzheimer’s Coordinating Center were used to estimate progression rates. Progression rates through five clinically defined AD stages—asymptomatic, mild cognitive impairment due to AD (MCI-AD), mild AD dementia, moderate AD dementia, severe AD dementia—and death were measured as transition probabilities. Rates were assessed in “incident” patients who recently entered the stage, controlling for covariates. Transition probabilities were generated from multinomial logit regression models that …

Potential Sex-Related Differences In Neurophysiology Post-Concussion, Alexandra N. Pauhl

Electronic Thesis and Dissertation Repository

The purpose of this study was to examine potential sex-related differences in neurophysiology in concussed and healthy individuals. There was a total of 21(9 F) participants in each group. The concussion (CONC) group reported to the lab within 72 hours, 1- and 2-weeks post-injury. The control (CONT) group followed a similar measurement schedule once recruited. Motor evoked potential (MEP) amplitude and cortical silent period (CSP) duration was measured in the first dorsal interosseous muscle using transcranial magnetic stimulation. There were no significant differences in MEP amplitude or CSP duration between the CONC and CONT group. As well, there was no …

Learning How To Build A Neural Network Model Of The Tactile Periphery, Vicky Chang

Undergraduate Student Research Internships Conference

First order neurons in the hairless skin of human hands have spatially complex receptive fields that allow for the detection of spatial details. These spatially complex receptive fields arise from the branching of mechanoreceptors, which converge and connect to first order neurons. This arrangement allows us to process our sensory environment through detecting the edge orientation of a touched object for instance, and do things like read braille.

These spatially complex receptive fields can studied by using a feedforward neural network to model the tactile periphery. By understanding the processing at the level of the tactile periphery, we can better …

Intergenerational Transmission Of Functional Connectivity Profiles In Isolated Reading And Math Networks: A Scoping Review And Study Proposal, Ashini Peiris, Ira Gupta, Lien Peters, Eric D. Wilkey

Undergraduate Student Research Internships Conference

The scoping review surveyed the existing literature on the topic of resting-state functional connectivity (rsFC) and mathematical cognition. The review revealed that rsFC is indicative of distinct long-term developmental trends in mathematical processing, alluding to individual differences in math abilities. Though there have been multiple studies that investigate individual differences in functional connectivity patterns related to math development and math learning disorders, no study has directly investigated to what degree these neurobiological factors are heritable. To address this topic, the following intergenerational transmission (IT) study is proposed. IT is the transfer of personal values, abilities, behaviours, and traits, from parents …

Task-Based And Resting-State Functional Connectivity In Children With Dyscalculia, Ira Gupta

Undergraduate Student Research Internships Conference

Resting-state functional connectivity (RSFC) is a unique method in neuroimaging that measures the spontaneous neural activity as the brain is at rest, not actively undergoing any task. It is important in investigating brain patterns that result from brain regions working together throughout an individual’s development. The application of this technique has been limited in the mathematical cognition field, and thus, should be explored further. This preregistration poster focuses on the depth of the literature and studies available in regards to RSFC and math cognition through a scoping review, and then proposes a study in which task-based and resting-state functional connectivity …

Effect Of Carbon Monoxide Releasing Molecule 3 (Corm - 3) On Platelet Adhesion To Human Brain Microvascular Endothelial Cells, Najat S. El-Farra

Undergraduate Student Research Internships Conference

Sepsis is characterized by the widespread inflammation of the body. Systemic inflammation activates and recruits inflammatory cells (e.g., leukocytes) and platelets to the affected organs.

During these inflammatory conditions, human brain microvascular endothelial cells (hBMEC) and platelets both upregulate adhesive molecules rendering platelets to adhere to hBMEC.

Although carbon monoxide is thought of as a toxic molecule to many, previous work shows its anti-inflammatory properties. Evidence has shown carbon monoxide-releasing molecules (e.g., CORM-3; that release small, non-toxic amounts of CO) can combat the effects of severe inflammation in several in vivo animal model.

In this current study, we are looking …

Assessing Reading Comprehension And Memory Recall Of Children With Attention Deficit Hyperactivity Disorder, Jasmeen Mander

Undergraduate Student Research Internships Conference

This project examined the influence of background knowledge on reading comprehension and memory recall of children with Attention Deficit Hyperactivity Disorder in comparison to typically developing children. Furthermore, the true or false scores and average story recalls of the two groups of children, ADHD and without ADHD were also compared. The participants varied in ages 9-14 years old and were assigned a self-paced reading task followed by 24 true or false questions and two memory recall questions. For both groups of children, the amount of background knowledge an individual conveyed did not correlate to their reading comprehension and memory recall. …

Familiarity As A Motivator For Information-Seeking, Danielle Raynes-Goldfinger

Undergraduate Student Research Internships Conference

Curiosity is an integral part of motivation and results in information-seeking behaviors to obtain rewarding information. Theories on curiosity suggest that it occurs when an information gap is detected. Here, we explored whether the assessment of familiarity may result in the induction of curiosity. We employed 3 phases, the first involving memorization of face-name pairs. Next, participants were presented with new and the old faces and were asked to judge whether they fully remembered the name, whether the face was familiar despite the name being unrecallable, or whether the face nor name was familiar. To conclude, we allowed participants to …

Incorporating Action Information Into Computational Models Of The Human Visual System, Justin Zhou

Undergraduate Student Research Internships Conference

Deep convolutional neural networks (DCNNs) have been used to model the ventral visual stream. However, there have been relatively few computational models of the dorsal visual stream, preventing a wholistic understanding of the human visual system. Additionally, current DCNN models of the ventral stream have shortcomings (such as an over-reliance on texture data) which can be ameliorated by incorporating dorsal stream information. The current study aims to investigate two questions: 1) does incorporating action information improve computational models of the ventral visual system? 2) how do the ventral and dorsal streams influence each other during development?

Three models will be …

Memoir Dataset: Quantifying Image Memorability In Adolescents, Gal Almog, Yalda Mohsenzadeh

Undergraduate Student Research Internships Conference

Every day, humans observe and interact with hundreds of images and scenes; whether it be on a cellphone, on television, or in print. Yet a vast majority of these images are forgotten, some immediately and some after variable lengths of time. Memorability is indeed a property intrinsic to all images that can be extracted, as well as predicted. While memory itself is a process that occurs in the brain of an individual, the concept of memorability is an intrinsic, continuous property of a stimulus that can be both measured and manipulated. We selected images from the MemCat data set that …

Virtual Reality (Vr)-Based Environmental Enrichment In Older Adults With Mild Cognitive Impairment (Mci) And Mild Dementia, Waleed Riaz, Zain Yar Khan, Ali Jawaid, Suleman Shahid

Medical College Documents

Background: Despite an alarming rise in the global prevalence of dementia, the available modalities for improving cognition and mental wellbeing of dementia patients remain limited. Environmental enrichment is an experimental paradigm that has shown promising anti-depressive and memory-enhancing effects in pre-clinical studies. However, its clinical utility has remained limited due to the lack of effective implementation strategies.
Objective: The primary objective of this study was to evaluate the usability (tolerability and interactivity) of a long-term virtual reality (VR)- based environmental enrichment training program in older adults with mild cognitive impairment (MCI) and mild dementia. A secondary objective was to assess …

Altering Sensory Learning By Chronic Inactivation Of Vip Interneurons, Christopher Alba, Hannah Selwyn, Katie Ferguson, Jessica Cardin

The Yale Undergraduate Research Journal

Vasoactive intestinal polypeptide-expressing interneurons (VIP-INs) play a key role in the regulation of cortical circuits and are implicated in perceptual function and psychiatric disease. However, their role in perceptual augmentation and learning remains understudied. We performed chronic, localized ablation of VIP-INs in the primary visual cortex of adult mice using caspase-induced apoptosis to better understand how VIP-INs contribute to visual perception and the ability to learn a visual detection task. We find that chronic VIP-IN ablation does not affect naïve performance on a full-screen visual contrast detection task. However, mice with suppressed levels of VIP-INs achieved their final expert state …

Examining The Role Of Chloride Homeostasis And Pge2 Signaling In The Neuroendocrine Stress Response To Inflammation, Samuel A. Mestern

Electronic Thesis and Dissertation Repository

The brain senses inflammatory signals and drives the release of glucocorticoids (GCs) — potent immunosuppressants — via the activation of the hypothalamic-pituitary-adrenal (HPA) axis. This inflammation-induced HPA axis activation is largely mediated by prostaglandin E2 (PGE2), acting on two subtypes of the PGE2 receptor, EP1 and EP3. Recently, our group revealed EP3 signaling mechanisms that excite HPA axis regulatory neurons. This thesis sought to tease out the remaining EP1 signaling mechanisms. Considering that the excitability of HPA axis regulatory neurons is constrained by GABA_A receptor-mediated synaptic inhibition that relies on low-level intracellular Cl^-. We hypothesized that PGE2-EP1 …

Investigating The Effects Of Maternal Immune Activation On Sensory Processing: Timing, Immune Mechanisms, And Gene-Environment Interactions, Faraj Haddad

Electronic Thesis and Dissertation Repository

Maternal infection during the first or second trimester of pregnancy poses a risk factor for the child to have neurodevelopmental disorders like autism spectrum disorder (ASD) and schizophrenia. Various clinical and preclinical studies have shown that the maternal immune response to infection, also known as maternal immune activation (MIA), can disrupt fetal brain development.

Over the past two decades, MIA has been studied in rodents using the Polyinosinic Polycytidylic acid (Poly I:C) rodent model. Poly I:C has a molecular pattern resembling viruses that can induce a robust immune response. Following exposure to Poly I:C MIA, rodent offspring exhibit many brain …

Does Aberrant Connectivity Underlie The Experience Of Misophonia?, Kate Raymond

Electronic Thesis and Dissertation Repository

Misophonia is a condition characterized by an extreme aversion to certain ordinary sounds, such as chewing or breathing. These sounds are typically innocuous but elicit strong feelings of anger, anxiety, and disgust as well as physiological stress in people with misophonia. This misophonic reaction to “trigger” sounds is also marked by increased activity in regions of the brain that process sound, ascribe salience, and regulate emotion (Kumar et al., 2017; Schroder et al., 2019). It has therefore been theorized that aberrant connectivity between these brain regions (particularly the anterior insula, auditory cortex, amygdala, and hippocampus) may underlie the experience of …

Dimensionality Reduction For Classification Of Object Weight From Electromyography, Elnaz Lashgari, Uri Maoz

Psychology Faculty Articles and Research

Electromyography (EMG) is a simple, non-invasive, and cost-effective technology for measuring muscle activity. However, multi-muscle EMG is also a noisy, complex, and high-dimensional signal. It has nevertheless been widely used in a host of human-machine-interface applications (electrical wheelchairs, virtual computer mice, prosthesis, robotic fingers, etc.) and, in particular, to measure the reach-and-grasp motions of the human hand. Here, we developed an automated pipeline to predict object weight in a reach-grasp-lift task from an open dataset, relying only on EMG data. In doing so, we shifted the focus from manual feature-engineering to automated feature-extraction by using pre-processed EMG signals and thus …

Functional Optical Imaging Of The Developing Mouse Cortex In Health And Disease, Rachel Marlene Rahn

Arts & Sciences Electronic Theses and Dissertations

Neurodevelopmental disorders (NDDs) are a heterogeneous family of disorders characterized by the presence of abnormal developmental trajectories. Functional connectivity (FC) neuroimaging provides a minimally-invasive method by which to investigate the progression of these disorders and identify potential biomarkers of disease-related dysfunction for use in therapeutics’ development. My thesis work therefore took several approaches to the question of how the functional connectome reflects developmental change as well as system-wide perturbations from environmental or genetic factors. I explored the use of optical fluorescence and intrinsic signal imaging to characterize FC and stimulation-derived responses in a NDD model of perinatal exposure to selective …

Precision Diffusion Imaging To Analyze Individual-Specific Plasticity, Nicole Andrea Seider

Arts & Sciences Electronic Theses and Dissertations

Diffusion weighted imaging (DWI) is used to non-invasively infer and characterize the structure and integrity of the brain’s white matter fibers. Individual-specific precision diffusion imaging can identify additional organizational detail important for understanding basic brain connectivity and for advancing clinical applications of DWI in neuromodulation and neurosurgical planning. The reliability of individual specific DWI and data requirements for various analytic methodologies must first be systematically assessed. The reliability and accuracy of precision diffusion imaging was evaluated as a function of data quantity and analysis method, using both simulations and highly sampled individual-specific data (Chapter 2). Parameter estimation methods that allowed …

Towards The Discovery Of Prognostic Biomarkers For Glioblastoma Using Resting-State Functional Connectivity, Andy G. S. Daniel

McKelvey School of Engineering Theses & Dissertations

Gliomas are highly diffusive, primary brain tumors. The most malignant form, glioblastoma, has a dismal survival rate: 14-17 months following the current standard of care, which consists of surgery, radiation, and chemotherapy. Insights into the molecular, cellular, and microenvironmental components of glioblastoma have revealed a vast array of factors utilized to support its proliferation, infiltration, and resistance to treatment. Recent advancements have also identified diagnostic and prognostic biomarkers that are now being used to guide treatment planning. However, survival has improved only marginally, thus emphasizing the continued need for novel biomarkers and treatment strategies. Given its delicate location in the …